Outputs (53)

Integrating construction supply chains within a circular economy: An ANFIS-based waste analytics system (A-WAS) (2019)
Journal Article
Akinade, O. O., & Oyedele, L. O. (2019). Integrating construction supply chains within a circular economy: An ANFIS-based waste analytics system (A-WAS). Journal of Cleaner Production, 229, 863-873. https://doi.org/10.1016/j.jclepro.2019.04.232

© 2019 The circular economy agenda makes it paramount for construction supply chains to reduce material waste. Although a collaborative platform called Building Information Modelling (BIM) offers a means of supply chains integration, it has not been... Read More about Integrating construction supply chains within a circular economy: An ANFIS-based waste analytics system (A-WAS).

Benchmarks for energy access: Policy vagueness and incoherence as barriers to sustainable electrification of the global south (2019)
Journal Article
Monyei, C. G., Oyedele, L. O., Akinade, O. O., Ajayi, A. O., & Luo, X. J. (2019). Benchmarks for energy access: Policy vagueness and incoherence as barriers to sustainable electrification of the global south. Energy Research and Social Science, 54, 113-116. https://doi.org/10.1016/j.erss.2019.04.005

© 2019 The unavailability of tangible policy benchmarks continues to mitigate against sustainable electrification in the global south. Furthermore, incoherent policy benchmarks as to what should constitute clean energy allow for varying interpretatio... Read More about Benchmarks for energy access: Policy vagueness and incoherence as barriers to sustainable electrification of the global south.

Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy (2019)
Journal Article
Akanbi, L. A., Oyedele, L. O., Omoteso, K., Bilal, M., Akinade, O. O., Ajayi, A. O., …Owolabi, H. A. (2019). Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy. Journal of Cleaner Production, 223, 386-396. https://doi.org/10.1016/j.jclepro.2019.03.172

© 2019 Despite the relevance of building information modelling for simulating building performance at various life cycle stages, Its use for assessing the end-of-life impacts is not a common practice. Even though the global sustainability and circula... Read More about Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy.

Design optimisation using convex programming: Towards waste-efficient building designs (2019)
Journal Article
Bilal, M., Oyedele, L. O., Akinade, O. O., Delgado, J. M. D., Akanbi, L. A., Ajayi, A. O., & Younis, M. S. (2019). Design optimisation using convex programming: Towards waste-efficient building designs. Journal of Building Engineering, 23, 231-240. https://doi.org/10.1016/j.jobe.2019.01.022

© 2019 The Authors A non-modular building layout is amongst the leading sources of offcut waste, resulting from a substantial amount of onsite cutting and fitting of bricks, blocks, plasterboard, and tiles. The field of design for dimensional coordin... Read More about Design optimisation using convex programming: Towards waste-efficient building designs.

Offsite construction: Developing a BIM-Based optimizer for assembly (2019)
Journal Article
Gbadamosi, A. Q., Mahamadu, A. M., Oyedele, L. O., Akinade, O. O., Manu, P., Mahdjoubi, L., & Aigbavboa, C. (2019). Offsite construction: Developing a BIM-Based optimizer for assembly. Journal of Cleaner Production, 215, 1180-1190. https://doi.org/10.1016/j.jclepro.2019.01.113

© 2019 Elsevier Ltd The lack of adequate consideration of the underlying factors affecting the methods of building assembly often results in inefficiencies in the uses of building materials, equipment and manpower. These inefficiencies are further co... Read More about Offsite construction: Developing a BIM-Based optimizer for assembly.

Optimisation of resource management in construction projects: A big data approach (2019)
Journal Article
Kusimo, H., Oyedele, L., Akinade, O., Oyedele, A., Abioye, S., Agboola, A., & Mohammed-Yakub, N. (2019). Optimisation of resource management in construction projects: A big data approach. World Journal of Science, Technology and Sustainable Development, 16(2), 82-93. https://doi.org/10.1108/WJSTSD-05-2018-0044

Purpose – The purpose of this paper is to identify challenges faced in resource management in the UK construction industry and to propose some solutions to these problems. Design/methodology/approach – Based on a qualitative research methodology, 14... Read More about Optimisation of resource management in construction projects: A big data approach.

An income-reflective scalable energy level transition system for low/middle income households (2018)
Journal Article
Monyei, C. G., Oyedele, L. O., Akinade, O. O., Ajayi, A. O., Ezugwu, A. E., Akpeji, K. O., …Onunwor, J. C. (2019). An income-reflective scalable energy level transition system for low/middle income households. Sustainable Cities and Society, 45, 172-186. https://doi.org/10.1016/j.scs.2018.10.042

© 2018 Elsevier Ltd In mitigating against energy poverty in Nigeria, research interest has focused mainly on electricity access and reduced electricity bills for low/medium income households. However, energy poverty in the global south is not only a... Read More about An income-reflective scalable energy level transition system for low/middle income households.

Predicting completion risk in PPP projects using big data analytics (2018)
Journal Article
Owolabi, H., Bilal, M., Oyedele, L., Alaka, H. A., Ajayi, S. O., & Akinade, O. (2020). Predicting completion risk in PPP projects using big data analytics. IEEE Transactions on Engineering Management, 67(2), 430-453. https://doi.org/10.1109/TEM.2018.2876321

Accurate prediction of potential delays in public private partnerships (PPP) projects could provide valuable information relevant for planning and mitigating completion risk in future PPP projects. However, existing techniques for evaluating completi... Read More about Predicting completion risk in PPP projects using big data analytics.

Big data platform for health and safety accident prediction (2018)
Journal Article
Ajayi, A., Oyedele, L., Davila Delgado, J. M., Akanbi, L., Bilal, M., Akinade, O., & Olawale, O. (2019). Big data platform for health and safety accident prediction. World Journal of Science, Technology and Sustainable Development, 16(1), 2-21. https://doi.org/10.1108/WJSTSD-05-2018-0042

Purpose – The purpose of this paper is to highlight the use of the big data technologies for health and safety risks analytics in the power infrastructure domain with large data sets of health and safety risks, which are usually sparse and noisy. Des... Read More about Big data platform for health and safety accident prediction.

Reusability analytics tool for end-of-life assessment of building materials in a circular economy (2018)
Journal Article
Akanbi, L., Oyedele, L., Davila Delgado, J. M., Bilal, M., Akinade, O., Ajayi, A., & Mohammed-Yakub, N. (2019). Reusability analytics tool for end-of-life assessment of building materials in a circular economy. World Journal of Science, Technology and Sustainable Development, 16(1), 40-55. https://doi.org/10.1108/WJSTSD-05-2018-0041

Purpose – In a circular economy, the goal is to keep materials values in the economy for as long as possible. For the construction industry to support the goal of the circular economy, there is the need for materials reuse. However, there is little o... Read More about Reusability analytics tool for end-of-life assessment of building materials in a circular economy.